TaskUs (TASK) Depreciation and Depletion (2020 - 2026)
TaskUs (TASK) recorded Depreciation and Depletion of $11.56 million in Q2 2026, up 17.1% from $9.87 million a year earlier and up 4.5% from the prior quarter.
TaskUs (TASK) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, TaskUs' Depreciation and Depletion came in at $44.27 million as of Jun 30, 2026, up 12.6% year-over-year; for FY2025, it was $41.53 million, up 3.2% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $40.22 million in FY2024 (-0.4%), $40.39 million in FY2023 (+6.5%), $37.92 million in FY2022 (+30.6%) and $29.04 million in FY2021 (+44.1%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2020.
- On a year-over-year basis, Depreciation and Depletion has increased for four consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 100.1% in Q3 2021, against a decline of 10.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.06 million (Q1 2026), $10.87 million (Q4 2025) and $10.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 150.67 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 78.92 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 211.04 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | - |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 21.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | - |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | - |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 25.04 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | TaskUs | 832.65 Mn | 98.72 Mn | 108.86 Mn | 12.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.38 Mn |
| Jun 30, 2026 | 11.56 Mn |
| Mar 31, 2026 | 11.06 Mn |
| Dec 31, 2025 | 10.87 Mn |
| Sep 30, 2025 | 10.78 Mn |
| Jun 30, 2025 | 9.87 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 9.70 Mn |
| Sep 30, 2024 | 9.76 Mn |
| Jun 30, 2024 | 9.98 Mn |
| Mar 31, 2024 | 10.79 Mn |
| Dec 31, 2023 | 10.89 Mn |
| Sep 30, 2023 | 9.76 Mn |
| Jun 30, 2023 | 10.08 Mn |
| Mar 31, 2023 | 9.66 Mn |
| Dec 31, 2022 | 9.93 Mn |
| Sep 30, 2022 | 9.43 Mn |
| Jun 30, 2022 | 9.66 Mn |
| Mar 31, 2022 | 8.90 Mn |
| Dec 31, 2021 | 8.68 Mn |
TaskUs Depreciation and Depletion API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=TASK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TASK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=TASK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();